Liang Zhao

Liang Zhao

Emory & Henry College

H-index: 33

North America-United States

About Liang Zhao

Liang Zhao, With an exceptional h-index of 33 and a recent h-index of 32 (since 2020), a distinguished researcher at Emory & Henry College, specializes in the field of data mining, machine learning, spatial data mining, graph neural networks, generative AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation

Explainable AI for lung nodule detection and classification in CT images

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization

Large Language Models for Spatial Trajectory Patterns Mining

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

Liang Zhao Information

University

Position

___

Citations(all)

4981

Citations(since 2020)

4291

Cited By

1551

hIndex(all)

33

hIndex(since 2020)

32

i10Index(all)

124

i10Index(since 2020)

118

Email

University Profile Page

Emory & Henry College

Google Scholar

View Google Scholar Profile

Liang Zhao Skills & Research Interests

data mining

machine learning

spatial data mining

graph neural networks

generative AI

Top articles of Liang Zhao

Title

Journal

Author(s)

Publication Date

Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation

The 38th Annual AAAI Conference on Artificial Intelligence Workshop on Health Intelligence

Xiangru Li

Yifei Zhang

Liang Zhao

2024/2/3

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models

arXiv preprint arXiv:2402.10189

Chen Ling

Xujiang Zhao

Wei Cheng

Yanchi Liu

Yiyou Sun

...

2024/2/15

DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation

arXiv preprint arXiv:2403.10831

Qilong Zhao

Yifei Zhang

Mengdan Zhu

Siyi Gu

Yuyang Gao

...

2024/3/16

Explainable AI for lung nodule detection and classification in CT images

Chih-Wei Chang

Qilong Zhao

Liang Zhao

Xiaofeng Yang

2024/4/3

MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization

Nguyen Do

Tanmoy Chowdhury

Chen Ling

Liang Zhao

My Thai

2024/5/1

Large Language Models for Spatial Trajectory Patterns Mining

Zheng Zhang

Hossein Amiri

Zhenke Liu

Andreas Züfle

Liang Zhao

2024/2/1

Gradient-Free Adaptive Global Pruning for Pre-trained Language Models

arXiv preprint arXiv:2402.17946

Guangji Bai

Yijiang Li

Chen Ling

Kibaek Kim

Liang Zhao

2024/2/28

Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning

ACM Computing Surveys (CSUR)

Yuyang Gao

Siyi Gu

Junji Jiang

Sungsoo Ray Hong

Dazhou Yu

...

2024/2/7

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs

arXiv preprint arXiv:2404.01430

Zheng Zhang

Fan Yang

Ziyan Jiang

Zheng Chen

Zhengyang Zhao

...

2024/4/1

Source Localization for Cross Network Information Diffusion

arXiv preprint arXiv:2404.14668

Chen Ling

Tanmoy Chowdhury

Jie Ji

Sirui Li

Andreas Züfle

...

2024/4/23

Controllable Data Generation by Deep Learning: A Review

Shiyu Wang

Yuanqi Du

Xiaojie Guo

Bo Pan

Zhaohui Qin

...

2022

Robust Explanation Supervision for False Positive Reduction in Pulmonary Nodule Detection

Medical Physics

Qilong Zhao

Chi-Wei Chang

Xiaofeng Yang

Liang Zhao

2024/2/3

Beyond efficiency: A systematic survey of resource-efficient large language models

Guangji Bai

Zheng Chai

Chen Ling

Shiyu Wang

Jiaying Lu

...

2024/1

ELAD: Explanation-Guided Large Language Models Active Distillation

arXiv preprint arXiv:2402.13098

Yifei Zhang

Bo Pan

Chen Ling

Yuntong Hu

Liang Zhao

2024/2/20

Helper Recommendation with seniority control in Online Health Community

Junruo Gao

Chen Ling

Carl Yang

Liang Zhao

2024/4

Non-Euclidean Spatial Graph Neural Network

Zheng Zhang

Sirui Li

Jingcheng Zhou

Junxiang Wang

Abhinav Angirekula

...

2024/4/18

3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting Experience through Human-AI Collaboration Design

Proceedings of the ACM on Human-Computer Interaction

Nahyun Kwon

Tong Steven Sun

Yuyang Gao

Liang Zhao

Xu Wang

...

2024/4/23

Deep graph representation learning influence maximization with accelerated inference

Available at SSRN 4663083

Tanmoy Chowdhury

Chen Ling

Junji Jiang

Junxiang Wang

My T Thai

...

2024

Distilling Large Language Models for Text-Attributed Graph Learning

arXiv preprint arXiv:2402.12022

Bo Pan

Zheng Zhang

Yifei Zhang

Yuntong Hu

Liang Zhao

2024/2/19

STES: A Spatiotemporal Explanation Supervision Framework

Dazhou Yu

Binbin Chen

Yun Li

Suman Dhaka

Yifei Zhang

...

2024/4

See List of Professors in Liang Zhao University(Emory & Henry College)

Co-Authors

H-index: 110
Jian Pei

Jian Pei

Simon Fraser University

H-index: 88
Hui Xiong, Fellow of AAAS and IEEE

Hui Xiong, Fellow of AAAS and IEEE

Rutgers, The State University of New Jersey

H-index: 82
Arye Nehorai

Arye Nehorai

Washington University in St. Louis

H-index: 73
Lise Getoor

Lise Getoor

University of California, Santa Cruz

H-index: 67
Naren Ramakrishnan

Naren Ramakrishnan

Virginia Polytechnic Institute and State University

H-index: 66
Madhav  Marathe

Madhav Marathe

University of Virginia

academic-engine